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Thamer
/
wav2vec-fine_tuned-speech_command2

Audio Classification
Transformers
PyTorch
TensorBoard
wav2vec2
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use Thamer/wav2vec-fine_tuned-speech_command2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Thamer/wav2vec-fine_tuned-speech_command2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="Thamer/wav2vec-fine_tuned-speech_command2")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("Thamer/wav2vec-fine_tuned-speech_command2")
    model = AutoModelForAudioClassification.from_pretrained("Thamer/wav2vec-fine_tuned-speech_command2")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec-fine_tuned-speech_command2 / runs
18.3 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 11 commits
Thamer Smadi
End of training
32f22eb almost 3 years ago
  • Aug13_19-17-21_330c0be3f773
    End of training almost 3 years ago